Deep Learning-Based Multi- Modal Curved Text Detector using Scenic Images: A Multi-Feature Deep Attention Residual Network (DAR-NURD)

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Intelligent Engineering Informatics
Published
2024-12-11
DOI
https://doi.org/10.1504/ijiei.2026.10068366
Primary Topic
Handwritten Text Recognition Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep Learning-Based Multi- Modal Curved Text Detector using Scenic Images: A Multi-Feature Deep Attention Residual Network (DAR-NURD)

Prachi Chhabra, Ali Imam Abidi
International Journal of Intelligent Engineering Informatics
Handwritten Text Recognition Techniques
article

Deep Learning-Based Multi- Modal Curved Text Detector using Scenic Images: A Multi-Feature Deep Attention Residual Network (DAR-NURD)

Prachi Chhabra, Ali Imam Abidi
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Intelligent Engineering InformaticsVol. 14(3)
Climate action
Openalex Percentile: Top 77%
Handwritten Text Recognition Techniques
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